Relative Abundance in Samples at Different Taxonomic Ranks

1. Class

NULL

2. Order

Linear mixed model fit by REML. t-tests use Satterthwaite's method ['lmerModLmerTest']
Formula: lgt ~ Diet + Week + Sex + (1 | MouseID)
   Data: tmp

REML criterion at convergence: -8.7

Scaled residuals: 
     Min       1Q   Median       3Q      Max 
-1.88064 -0.79685 -0.02963  0.59519  1.89864 

Random effects:
 Groups   Name        Variance Std.Dev.
 MouseID  (Intercept) 0.001563 0.03953 
 Residual             0.031106 0.17637 
Number of obs: 36, groups:  MouseID, 18

Fixed effects:
            Estimate Std. Error       df t value Pr(>|t|)    
(Intercept)  0.78132    0.06832 21.60557  11.436 1.24e-10 ***
DietPEITC   -0.01420    0.06167 15.00000  -0.230   0.8210    
Week9       -0.13800    0.05879 17.00000  -2.347   0.0313 *  
SexMale     -0.01632    0.06541 15.00000  -0.250   0.8064    
---
Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1

Correlation of Fixed Effects:
          (Intr) DPEITC Week9 
DietPEITC -0.451              
Week9     -0.430  0.000       
SexMale   -0.638  0.000  0.000

Linear mixed model fit by REML. t-tests use Satterthwaite's method ['lmerModLmerTest']
Formula: lgt ~ Diet + Week + Sex + (1 | MouseID)
   Data: tmp

REML criterion at convergence: -66.7

Scaled residuals: 
    Min      1Q  Median      3Q     Max 
-1.7791 -0.4749 -0.1250  0.5636  1.5018 

Random effects:
 Groups   Name        Variance Std.Dev.
 MouseID  (Intercept) 0.001600 0.04000 
 Residual             0.004052 0.06366 
Number of obs: 36, groups:  MouseID, 18

Fixed effects:
             Estimate Std. Error        df t value Pr(>|t|)    
(Intercept)  0.301785   0.030304 19.154067   9.959  5.2e-09 ***
DietPEITC    0.040279   0.028386 15.000000   1.419    0.176    
Week9        0.007554   0.021219 17.000000   0.356    0.726    
SexMale     -0.020233   0.030107 15.000000  -0.672    0.512    
---
Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1

Correlation of Fixed Effects:
          (Intr) DPEITC Week9 
DietPEITC -0.468              
Week9     -0.350  0.000       
SexMale   -0.662  0.000  0.000

Linear mixed model fit by REML. t-tests use Satterthwaite's method ['lmerModLmerTest']
Formula: lgt ~ Diet + Week + Sex + (1 | MouseID)
   Data: tmp

REML criterion at convergence: -72.5

Scaled residuals: 
    Min      1Q  Median      3Q     Max 
-1.5175 -0.5912 -0.1733  0.3819  2.5513 

Random effects:
 Groups   Name        Variance Std.Dev.
 MouseID  (Intercept) 0.001321 0.03635 
 Residual             0.003380 0.05814 
Number of obs: 36, groups:  MouseID, 18

Fixed effects:
             Estimate Std. Error        df t value Pr(>|t|)   
(Intercept)  0.102089   0.027624 19.171460   3.696  0.00152 **
DietPEITC   -0.003192   0.025869 15.000000  -0.123  0.90344   
Week9        0.014756   0.019379 17.000000   0.761  0.45685   
SexMale     -0.019666   0.027438 15.000000  -0.717  0.48455   
---
Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1

Correlation of Fixed Effects:
          (Intr) DPEITC Week9 
DietPEITC -0.468              
Week9     -0.351  0.000       
SexMale   -0.662  0.000  0.000

Linear mixed model fit by REML. t-tests use Satterthwaite's method ['lmerModLmerTest']
Formula: lgt ~ Diet + Week + Sex + (1 | MouseID)
   Data: tmp

REML criterion at convergence: -77.9

Scaled residuals: 
    Min      1Q  Median      3Q     Max 
-1.1103 -0.6064 -0.2816  0.1003  3.0040 

Random effects:
 Groups   Name        Variance Std.Dev.
 MouseID  (Intercept) 0.000000 0.0000  
 Residual             0.003745 0.0612  
Number of obs: 36, groups:  MouseID, 18

Fixed effects:
            Estimate Std. Error       df t value Pr(>|t|)
(Intercept)  0.02051    0.02281 32.00000   0.899    0.375
DietPEITC   -0.02449    0.02040 32.00000  -1.200    0.239
Week9        0.02749    0.02040 32.00000   1.348    0.187
SexMale      0.02169    0.02164 32.00000   1.002    0.324

Correlation of Fixed Effects:
          (Intr) DPEITC Week9 
DietPEITC -0.447              
Week9     -0.447  0.000       
SexMale   -0.632  0.000  0.000
convergence code: 0
singular fit

Linear mixed model fit by REML. t-tests use Satterthwaite's method ['lmerModLmerTest']
Formula: lgt ~ Diet + Week + Sex + (1 | MouseID)
   Data: tmp

REML criterion at convergence: -154.4

Scaled residuals: 
    Min      1Q  Median      3Q     Max 
-1.7893 -0.5766 -0.1732  0.5219  2.6925 

Random effects:
 Groups   Name        Variance  Std.Dev.
 MouseID  (Intercept) 0.0000000 0.00000 
 Residual             0.0003437 0.01854 
Number of obs: 36, groups:  MouseID, 18

Fixed effects:
             Estimate Std. Error        df t value Pr(>|t|)   
(Intercept)  0.023133   0.006909 32.000000   3.348  0.00209 **
DietPEITC   -0.001633   0.006180 32.000000  -0.264  0.79330   
Week9       -0.004655   0.006180 32.000000  -0.753  0.45679   
SexMale      0.013373   0.006555 32.000000   2.040  0.04964 * 
---
Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1

Correlation of Fixed Effects:
          (Intr) DPEITC Week9 
DietPEITC -0.447              
Week9     -0.447  0.000       
SexMale   -0.632  0.000  0.000
convergence code: 0
singular fit

Linear mixed model fit by REML. t-tests use Satterthwaite's method ['lmerModLmerTest']
Formula: lgt ~ Diet + Week + Sex + (1 | MouseID)
   Data: tmp

REML criterion at convergence: -165

Scaled residuals: 
    Min      1Q  Median      3Q     Max 
-1.3061 -0.6061 -0.2231  0.2306  2.6532 

Random effects:
 Groups   Name        Variance  Std.Dev.
 MouseID  (Intercept) 1.815e-05 0.00426 
 Residual             2.299e-04 0.01516 
Number of obs: 36, groups:  MouseID, 18

Fixed effects:
             Estimate Std. Error        df t value Pr(>|t|)    
(Intercept)  0.025010   0.005997 21.300677   4.170 0.000422 ***
DietPEITC   -0.004875   0.005439 15.000000  -0.896 0.384234    
Week9        0.010158   0.005055 17.000000   2.010 0.060605 .  
SexMale     -0.012252   0.005769 15.000000  -2.124 0.050726 .  
---
Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1

Correlation of Fixed Effects:
          (Intr) DPEITC Week9 
DietPEITC -0.453              
Week9     -0.421  0.000       
SexMale   -0.641  0.000  0.000

Linear mixed model fit by REML. t-tests use Satterthwaite's method ['lmerModLmerTest']
Formula: lgt ~ Diet + Week + Sex + (1 | MouseID)
   Data: tmp

REML criterion at convergence: -193.2

Scaled residuals: 
    Min      1Q  Median      3Q     Max 
-2.0282 -0.5465 -0.2278  0.3549  2.5848 

Random effects:
 Groups   Name        Variance  Std.Dev.
 MouseID  (Intercept) 0.0000000 0.00000 
 Residual             0.0001022 0.01011 
Number of obs: 36, groups:  MouseID, 18

Fixed effects:
             Estimate Std. Error        df t value Pr(>|t|)    
(Intercept)  0.015935   0.003768 32.000000   4.229 0.000183 ***
DietPEITC    0.002352   0.003370 32.000000   0.698 0.490287    
Week9        0.006505   0.003370 32.000000   1.930 0.062526 .  
SexMale     -0.002283   0.003575 32.000000  -0.639 0.527587    
---
Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1

Correlation of Fixed Effects:
          (Intr) DPEITC Week9 
DietPEITC -0.447              
Week9     -0.447  0.000       
SexMale   -0.632  0.000  0.000
convergence code: 0
singular fit

Linear mixed model fit by REML. t-tests use Satterthwaite's method ['lmerModLmerTest']
Formula: lgt ~ Diet + Week + Sex + (1 | MouseID)
   Data: tmp

REML criterion at convergence: -210.5

Scaled residuals: 
    Min      1Q  Median      3Q     Max 
-1.5819 -0.5291 -0.0690  0.4427  2.0626 

Random effects:
 Groups   Name        Variance  Std.Dev.
 MouseID  (Intercept) 1.333e-05 0.003651
 Residual             4.833e-05 0.006952
Number of obs: 36, groups:  MouseID, 18

Fixed effects:
              Estimate Std. Error         df t value Pr(>|t|)    
(Intercept)  0.0125649  0.0031105 19.7698410   4.039 0.000654 ***
DietPEITC   -0.0029065  0.0028867 15.0000000  -1.007 0.329968    
Week9        0.0130555  0.0023173 17.0000000   5.634 2.98e-05 ***
SexMale      0.0001131  0.0030618 15.0000000   0.037 0.971031    
---
Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1

Correlation of Fixed Effects:
          (Intr) DPEITC Week9 
DietPEITC -0.464              
Week9     -0.372  0.000       
SexMale   -0.656  0.000  0.000

Linear mixed model fit by REML. t-tests use Satterthwaite's method ['lmerModLmerTest']
Formula: lgt ~ Diet + Week + Sex + (1 | MouseID)
   Data: tmp

REML criterion at convergence: -172.5

Scaled residuals: 
    Min      1Q  Median      3Q     Max 
-1.2638 -0.4796 -0.1511  0.1920  2.1671 

Random effects:
 Groups   Name        Variance  Std.Dev.
 MouseID  (Intercept) 0.0001244 0.01115 
 Residual             0.0001132 0.01064 
Number of obs: 36, groups:  MouseID, 18

Fixed effects:
             Estimate Std. Error        df t value Pr(>|t|)
(Intercept)  0.005056   0.006585 17.342670   0.768    0.453
DietPEITC    0.001276   0.006342 15.000000   0.201    0.843
Week9       -0.002087   0.003546 17.000000  -0.589    0.564
SexMale      0.010681   0.006726 15.000000   1.588    0.133

Correlation of Fixed Effects:
          (Intr) DPEITC Week9 
DietPEITC -0.482              
Week9     -0.269  0.000       
SexMale   -0.681  0.000  0.000

Linear mixed model fit by REML. t-tests use Satterthwaite's method ['lmerModLmerTest']
Formula: lgt ~ Diet + Week + Sex + (1 | MouseID)
   Data: tmp

REML criterion at convergence: -212.7

Scaled residuals: 
    Min      1Q  Median      3Q     Max 
-1.2122 -0.6591 -0.0984  0.1636  3.3008 

Random effects:
 Groups   Name        Variance  Std.Dev.
 MouseID  (Intercept) 0.000e+00 0.000000
 Residual             5.542e-05 0.007444
Number of obs: 36, groups:  MouseID, 18

Fixed effects:
              Estimate Std. Error         df t value Pr(>|t|)   
(Intercept)  5.246e-03  2.774e-03  3.200e+01   1.891  0.06771 . 
DietPEITC    2.357e-03  2.481e-03  3.200e+01   0.950  0.34931   
Week9       -9.545e-05  2.481e-03  3.200e+01  -0.038  0.96955   
SexMale      7.225e-03  2.632e-03  3.200e+01   2.745  0.00984 **
---
Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1

Correlation of Fixed Effects:
          (Intr) DPEITC Week9 
DietPEITC -0.447              
Week9     -0.447  0.000       
SexMale   -0.632  0.000  0.000
convergence code: 0
singular fit

3. Family

Linear mixed model fit by REML. t-tests use Satterthwaite's method ['lmerModLmerTest']
Formula: lgt ~ Diet + Week + Sex + (1 | MouseID)
   Data: tmp

REML criterion at convergence: -88.1

Scaled residuals: 
     Min       1Q   Median       3Q      Max 
-1.60111 -0.71235 -0.09878  0.68056  2.05345 

Random effects:
 Groups   Name        Variance  Std.Dev.
 MouseID  (Intercept) 0.0001745 0.01321 
 Residual             0.0025703 0.05070 
Number of obs: 36, groups:  MouseID, 18

Fixed effects:
              Estimate Std. Error         df t value Pr(>|t|)    
(Intercept)  0.1770761  0.0198937 21.4147747   8.901 1.21e-08 ***
DietPEITC   -0.0061098  0.0180100 15.0000000  -0.339    0.739    
Week9       -0.0005112  0.0168994 17.0000000  -0.030    0.976    
SexMale      0.0057442  0.0191025 15.0000000   0.301    0.768    
---
Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1

Correlation of Fixed Effects:
          (Intr) DPEITC Week9 
DietPEITC -0.453              
Week9     -0.425  0.000       
SexMale   -0.640  0.000  0.000

Linear mixed model fit by REML. t-tests use Satterthwaite's method ['lmerModLmerTest']
Formula: lgt ~ Diet + Week + Sex + (1 | MouseID)
   Data: tmp

REML criterion at convergence: -105.8

Scaled residuals: 
    Min      1Q  Median      3Q     Max 
-1.5931 -0.4595 -0.1037  0.7204  1.6591 

Random effects:
 Groups   Name        Variance  Std.Dev.
 MouseID  (Intercept) 0.0003528 0.01878 
 Residual             0.0012728 0.03568 
Number of obs: 36, groups:  MouseID, 18

Fixed effects:
             Estimate Std. Error        df t value Pr(>|t|)    
(Intercept)  0.153096   0.015974 19.761954   9.584  7.2e-09 ***
DietPEITC    0.018033   0.014826 15.000000   1.216    0.243    
Week9       -0.009526   0.011892 17.000000  -0.801    0.434    
SexMale      0.013876   0.015726 15.000000   0.882    0.392    
---
Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1

Correlation of Fixed Effects:
          (Intr) DPEITC Week9 
DietPEITC -0.464              
Week9     -0.372  0.000       
SexMale   -0.656  0.000  0.000

Linear mixed model fit by REML. t-tests use Satterthwaite's method ['lmerModLmerTest']
Formula: lgt ~ Diet + Week + Sex + (1 | MouseID)
   Data: tmp

REML criterion at convergence: -107.4

Scaled residuals: 
     Min       1Q   Median       3Q      Max 
-1.63580 -0.53632  0.06688  0.52915  1.80130 

Random effects:
 Groups   Name        Variance  Std.Dev.
 MouseID  (Intercept) 0.0003399 0.01844 
 Residual             0.0012101 0.03479 
Number of obs: 36, groups:  MouseID, 18

Fixed effects:
            Estimate Std. Error       df t value Pr(>|t|)    
(Intercept)  0.15149    0.01561 19.74051   9.706  5.9e-09 ***
DietPEITC    0.00297    0.01449 15.00000   0.205   0.8404    
Week9        0.01396    0.01160 17.00000   1.204   0.2452    
SexMale     -0.03442    0.01537 15.00000  -2.240   0.0407 *  
---
Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1

Correlation of Fixed Effects:
          (Intr) DPEITC Week9 
DietPEITC -0.464              
Week9     -0.371  0.000       
SexMale   -0.657  0.000  0.000

Linear mixed model fit by REML. t-tests use Satterthwaite's method ['lmerModLmerTest']
Formula: lgt ~ Diet + Week + Sex + (1 | MouseID)
   Data: tmp

REML criterion at convergence: -98.8

Scaled residuals: 
    Min      1Q  Median      3Q     Max 
-1.8606 -0.5603 -0.0763  0.3475  3.5612 

Random effects:
 Groups   Name        Variance  Std.Dev. 
 MouseID  (Intercept) 1.071e-20 1.035e-10
 Residual             1.950e-03 4.416e-02
Number of obs: 36, groups:  MouseID, 18

Fixed effects:
             Estimate Std. Error        df t value Pr(>|t|)    
(Intercept)  0.108746   0.016457 32.000000   6.608 1.89e-07 ***
DietPEITC    0.001277   0.014720 32.000000   0.087  0.93139    
Week9       -0.042848   0.014720 32.000000  -2.911  0.00651 ** 
SexMale      0.027205   0.015613 32.000000   1.742  0.09103 .  
---
Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1

Correlation of Fixed Effects:
          (Intr) DPEITC Week9 
DietPEITC -0.447              
Week9     -0.447  0.000       
SexMale   -0.632  0.000  0.000
convergence code: 0
singular fit

Linear mixed model fit by REML. t-tests use Satterthwaite's method ['lmerModLmerTest']
Formula: lgt ~ Diet + Week + Sex + (1 | MouseID)
   Data: tmp

REML criterion at convergence: -141.8

Scaled residuals: 
    Min      1Q  Median      3Q     Max 
-2.0688 -0.3466 -0.1241  0.4407  1.7068 

Random effects:
 Groups   Name        Variance  Std.Dev.
 MouseID  (Intercept) 0.0001305 0.01142 
 Residual             0.0004022 0.02006 
Number of obs: 36, groups:  MouseID, 18

Fixed effects:
             Estimate Std. Error        df t value Pr(>|t|)    
(Intercept)  0.090440   0.009212 19.498049   9.818 5.51e-09 ***
DietPEITC    0.013562   0.008584 15.000000   1.580   0.1350    
Week9        0.012558   0.006685 17.000000   1.878   0.0776 .  
SexMale     -0.011137   0.009105 15.000000  -1.223   0.2401    
---
Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1

Correlation of Fixed Effects:
          (Intr) DPEITC Week9 
DietPEITC -0.466              
Week9     -0.363  0.000       
SexMale   -0.659  0.000  0.000

Linear mixed model fit by REML. t-tests use Satterthwaite's method ['lmerModLmerTest']
Formula: lgt ~ Diet + Week + Sex + (1 | MouseID)
   Data: tmp

REML criterion at convergence: -72.1

Scaled residuals: 
    Min      1Q  Median      3Q     Max 
-1.5145 -0.5913 -0.1708  0.3789  2.5421 

Random effects:
 Groups   Name        Variance Std.Dev.
 MouseID  (Intercept) 0.001334 0.03653 
 Residual             0.003426 0.05853 
Number of obs: 36, groups:  MouseID, 18

Fixed effects:
             Estimate Std. Error        df t value Pr(>|t|)   
(Intercept)  0.102613   0.027792 19.177997   3.692  0.00153 **
DietPEITC   -0.003133   0.026023 15.000000  -0.120  0.90578   
Week9        0.015114   0.019511 17.000000   0.775  0.44920   
SexMale     -0.019653   0.027602 15.000000  -0.712  0.48739   
---
Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1

Correlation of Fixed Effects:
          (Intr) DPEITC Week9 
DietPEITC -0.468              
Week9     -0.351  0.000       
SexMale   -0.662  0.000  0.000

Linear mixed model fit by REML. t-tests use Satterthwaite's method ['lmerModLmerTest']
Formula: lgt ~ Diet + Week + Sex + (1 | MouseID)
   Data: tmp

REML criterion at convergence: -99.9

Scaled residuals: 
    Min      1Q  Median      3Q     Max 
-1.5166 -0.5669 -0.1138  0.3653  2.1566 

Random effects:
 Groups   Name        Variance  Std.Dev.
 MouseID  (Intercept) 0.0004683 0.02164 
 Residual             0.0015036 0.03878 
Number of obs: 36, groups:  MouseID, 18

Fixed effects:
             Estimate Std. Error        df t value Pr(>|t|)    
(Intercept)  0.100219   0.017689 19.567623   5.666 1.65e-05 ***
DietPEITC   -0.008283   0.016466 15.000000  -0.503   0.6223    
Week9       -0.034696   0.012925 17.000000  -2.684   0.0157 *  
SexMale     -0.015533   0.017465 15.000000  -0.889   0.3878    
---
Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1

Correlation of Fixed Effects:
          (Intr) DPEITC Week9 
DietPEITC -0.465              
Week9     -0.365  0.000       
SexMale   -0.658  0.000  0.000

Linear mixed model fit by REML. t-tests use Satterthwaite's method ['lmerModLmerTest']
Formula: lgt ~ Diet + Week + Sex + (1 | MouseID)
   Data: tmp

REML criterion at convergence: -157.4

Scaled residuals: 
    Min      1Q  Median      3Q     Max 
-1.8108 -0.5849 -0.0726  0.3764  3.5513 

Random effects:
 Groups   Name        Variance  Std.Dev. 
 MouseID  (Intercept) 3.658e-21 6.048e-11
 Residual             3.123e-04 1.767e-02
Number of obs: 36, groups:  MouseID, 18

Fixed effects:
             Estimate Std. Error        df t value Pr(>|t|)    
(Intercept)  0.038395   0.006586 32.000000   5.830 1.78e-06 ***
DietPEITC    0.005802   0.005890 32.000000   0.985    0.332    
Week9       -0.009270   0.005890 32.000000  -1.574    0.125    
SexMale      0.009273   0.006248 32.000000   1.484    0.148    
---
Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1

Correlation of Fixed Effects:
          (Intr) DPEITC Week9 
DietPEITC -0.447              
Week9     -0.447  0.000       
SexMale   -0.632  0.000  0.000
convergence code: 0
singular fit

Linear mixed model fit by REML. t-tests use Satterthwaite's method ['lmerModLmerTest']
Formula: lgt ~ Diet + Week + Sex + (1 | MouseID)
   Data: tmp

REML criterion at convergence: -77.5

Scaled residuals: 
    Min      1Q  Median      3Q     Max 
-1.1125 -0.6068 -0.2800  0.1023  3.0168 

Random effects:
 Groups   Name        Variance Std.Dev.
 MouseID  (Intercept) 0.000000 0.00000 
 Residual             0.003799 0.06164 
Number of obs: 36, groups:  MouseID, 18

Fixed effects:
            Estimate Std. Error       df t value Pr(>|t|)
(Intercept)  0.02060    0.02297 32.00000   0.897    0.376
DietPEITC   -0.02473    0.02055 32.00000  -1.204    0.237
Week9        0.02784    0.02055 32.00000   1.355    0.185
SexMale      0.02187    0.02179 32.00000   1.004    0.323

Correlation of Fixed Effects:
          (Intr) DPEITC Week9 
DietPEITC -0.447              
Week9     -0.447  0.000       
SexMale   -0.632  0.000  0.000
convergence code: 0
singular fit

Linear mixed model fit by REML. t-tests use Satterthwaite's method ['lmerModLmerTest']
Formula: lgt ~ Diet + Week + Sex + (1 | MouseID)
   Data: tmp

REML criterion at convergence: -164.6

Scaled residuals: 
    Min      1Q  Median      3Q     Max 
-1.3062 -0.6051 -0.2223  0.2252  2.6604 

Random effects:
 Groups   Name        Variance  Std.Dev.
 MouseID  (Intercept) 1.841e-05 0.00429 
 Residual             2.327e-04 0.01525 
Number of obs: 36, groups:  MouseID, 18

Fixed effects:
             Estimate Std. Error        df t value Pr(>|t|)    
(Intercept)  0.025158   0.006034 21.298658   4.170 0.000422 ***
DietPEITC   -0.004893   0.005472 15.000000  -0.894 0.385299    
Week9        0.010263   0.005084 17.000000   2.018 0.059612 .  
SexMale     -0.012328   0.005804 15.000000  -2.124 0.050703 .  
---
Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1

Correlation of Fixed Effects:
          (Intr) DPEITC Week9 
DietPEITC -0.453              
Week9     -0.421  0.000       
SexMale   -0.641  0.000  0.000

Linear mixed model fit by REML. t-tests use Satterthwaite's method ['lmerModLmerTest']
Formula: lgt ~ Diet + Week + Sex + (1 | MouseID)
   Data: tmp

REML criterion at convergence: -192.7

Scaled residuals: 
    Min      1Q  Median      3Q     Max 
-2.0323 -0.5466 -0.2314  0.3530  2.5993 

Random effects:
 Groups   Name        Variance  Std.Dev. 
 MouseID  (Intercept) 1.499e-24 1.224e-12
 Residual             1.036e-04 1.018e-02
Number of obs: 36, groups:  MouseID, 18

Fixed effects:
             Estimate Std. Error        df t value Pr(>|t|)    
(Intercept)  0.016024   0.003793 32.000000   4.224 0.000186 ***
DietPEITC    0.002365   0.003393 32.000000   0.697 0.490745    
Week9        0.006599   0.003393 32.000000   1.945 0.060594 .  
SexMale     -0.002279   0.003599 32.000000  -0.633 0.530979    
---
Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1

Correlation of Fixed Effects:
          (Intr) DPEITC Week9 
DietPEITC -0.447              
Week9     -0.447  0.000       
SexMale   -0.632  0.000  0.000
convergence code: 0
singular fit

Linear mixed model fit by REML. t-tests use Satterthwaite's method ['lmerModLmerTest']
Formula: lgt ~ Diet + Week + Sex + (1 | MouseID)
   Data: tmp

REML criterion at convergence: -209.8

Scaled residuals: 
     Min       1Q   Median       3Q      Max 
-1.58406 -0.51959 -0.06268  0.44086  2.05003 

Random effects:
 Groups   Name        Variance  Std.Dev.
 MouseID  (Intercept) 1.389e-05 0.003727
 Residual             4.934e-05 0.007024
Number of obs: 36, groups:  MouseID, 18

Fixed effects:
             Estimate Std. Error        df t value Pr(>|t|)    
(Intercept)  0.012621   0.003153 19.736868   4.003 0.000713 ***
DietPEITC   -0.002916   0.002927 15.000000  -0.996 0.334880    
Week9        0.013219   0.002341 17.000000   5.646 2.91e-05 ***
SexMale      0.000146   0.003105 15.000000   0.047 0.963114    
---
Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1

Correlation of Fixed Effects:
          (Intr) DPEITC Week9 
DietPEITC -0.464              
Week9     -0.371  0.000       
SexMale   -0.657  0.000  0.000

Linear mixed model fit by REML. t-tests use Satterthwaite's method ['lmerModLmerTest']
Formula: lgt ~ Diet + Week + Sex + (1 | MouseID)
   Data: tmp

REML criterion at convergence: -164.2

Scaled residuals: 
     Min       1Q   Median       3Q      Max 
-1.25768 -0.54967 -0.15591  0.03543  2.93539 

Random effects:
 Groups   Name        Variance  Std.Dev.
 MouseID  (Intercept) 0.0000000 0.00000 
 Residual             0.0002525 0.01589 
Number of obs: 36, groups:  MouseID, 18

Fixed effects:
             Estimate Std. Error        df t value Pr(>|t|)  
(Intercept)  0.016173   0.005922 32.000000   2.731   0.0102 *
DietPEITC   -0.004024   0.005297 32.000000  -0.760   0.4530  
Week9       -0.002386  -0.450   0.6555  
SexMale      0.005075   0.005619 32.000000   0.903   0.3731  
---
Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1

Correlation of Fixed Effects:
          (Intr) DPEITC Week9 
DietPEITC -0.447              
Week9     -0.447  0.000       
SexMale   -0.632  0.000  0.000
convergence code: 0
singular fit

Linear mixed model fit by REML. t-tests use Satterthwaite's method ['lmerModLmerTest']
Formula: lgt ~ Diet + Week + Sex + (1 | MouseID)
   Data: tmp

REML criterion at convergence: -234.6

Scaled residuals: 
     Min       1Q   Median       3Q      Max 
-1.75217 -0.66162 -0.05052  0.46837  2.28674 

Random effects:
 Groups   Name        Variance  Std.Dev. 
 MouseID  (Intercept) 9.420e-07 0.0009706
 Residual             2.712e-05 0.0052074
Number of obs: 36, groups:  MouseID, 18

Fixed effects:
             Estimate Std. Error        df t value Pr(>|t|)    
(Intercept)  0.015682   0.001994 21.782186   7.865 8.38e-08 ***
DietPEITC    0.001572   0.001795 15.000000   0.876   0.3950    
Week9        0.001316   0.001736 17.000000   0.758   0.4589    
SexMale     -0.004338   0.001904 15.000000  -2.278   0.0378 *  
---
Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1

Correlation of Fixed Effects:
          (Intr) DPEITC Week9 
DietPEITC -0.450              
Week9     -0.435  0.000       
SexMale   -0.637  0.000  0.000

Linear mixed model fit by REML. t-tests use Satterthwaite's method ['lmerModLmerTest']
Formula: lgt ~ Diet + Week + Sex + (1 | MouseID)
   Data: tmp

REML criterion at convergence: -211.9

Scaled residuals: 
     Min       1Q   Median       3Q      Max 
-1.71477 -0.74456 -0.07438  0.39424  2.95175 

Random effects:
 Groups   Name        Variance  Std.Dev.
 MouseID  (Intercept) 0.000e+00 0.000000
 Residual             5.684e-05 0.007539
Number of obs: 36, groups:  MouseID, 18

Fixed effects:
             Estimate Std. Error        df t value Pr(>|t|)   
(Intercept)  0.006852   0.002810 32.000000   2.439  0.02047 * 
DietPEITC    0.002478   0.002513 32.000000   0.986  0.33150   
Week9       -0.002141   0.002513 32.000000  -0.852  0.40052   
SexMale      0.008180   0.002666 32.000000   3.069  0.00436 **
---
Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1

Correlation of Fixed Effects:
          (Intr) DPEITC Week9 
DietPEITC -0.447              
Week9     -0.447  0.000       
SexMale   -0.632  0.000  0.000
convergence code: 0
singular fit

Linear mixed model fit by REML. t-tests use Satterthwaite's method ['lmerModLmerTest']
Formula: lgt ~ Diet + Week + Sex + (1 | MouseID)
   Data: tmp

REML criterion at convergence: -172

Scaled residuals: 
    Min      1Q  Median      3Q     Max 
-1.2612 -0.4798 -0.1519  0.1907  2.1592 

Random effects:
 Groups   Name        Variance  Std.Dev.
 MouseID  (Intercept) 0.0001261 0.01123 
 Residual             0.0001148 0.01071 
Number of obs: 36, groups:  MouseID, 18

Fixed effects:
             Estimate Std. Error        df t value Pr(>|t|)
(Intercept)  0.005083   0.006631 17.343439   0.767    0.454
DietPEITC    0.001258   0.006386 15.000000   0.197    0.846
Week9       -0.002073   0.003571 17.000000  -0.581    0.569
SexMale      0.010777   0.006773 15.000000   1.591    0.132

Correlation of Fixed Effects:
          (Intr) DPEITC Week9 
DietPEITC -0.482              
Week9     -0.269  0.000       
SexMale   -0.681  0.000  0.000

Linear mixed model fit by REML. t-tests use Satterthwaite's method ['lmerModLmerTest']
Formula: lgt ~ Diet + Week + Sex + (1 | MouseID)
   Data: tmp

REML criterion at convergence: -212.3

Scaled residuals: 
    Min      1Q  Median      3Q     Max 
-1.2131 -0.6659 -0.0985  0.1594  3.2848 

Random effects:
 Groups   Name        Variance  Std.Dev.
 MouseID  (Intercept) 0.000e+00 0.000000
 Residual             5.619e-05 0.007496
Number of obs: 36, groups:  MouseID, 18

Fixed effects:
              Estimate Std. Error         df t value Pr(>|t|)   
(Intercept)  5.251e-03  2.794e-03  3.200e+01   1.879  0.06932 . 
DietPEITC    2.400e-03  2.499e-03  3.200e+01   0.960  0.34402   
Week9       -5.995e-05  2.499e-03  3.200e+01  -0.024  0.98101   
SexMale      7.284e-03  2.650e-03  3.200e+01   2.748  0.00976 **
---
Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1

Correlation of Fixed Effects:
          (Intr) DPEITC Week9 
DietPEITC -0.447              
Week9     -0.447  0.000       
SexMale   -0.632  0.000  0.000
convergence code: 0
singular fit

4. Genus

Linear mixed model fit by REML. t-tests use Satterthwaite's method ['lmerModLmerTest']
Formula: lgt ~ Diet + Week + Sex + (1 | MouseID)
   Data: tmp

REML criterion at convergence: -78

Scaled residuals: 
     Min       1Q   Median       3Q      Max 
-1.63210 -0.56445  0.04123  0.48143  1.80125 

Random effects:
 Groups   Name        Variance  Std.Dev.
 MouseID  (Intercept) 0.0007937 0.02817 
 Residual             0.0030741 0.05544 
Number of obs: 36, groups:  MouseID, 18

Fixed effects:
             Estimate Std. Error        df t value Pr(>|t|)    
(Intercept)  0.221816   0.024563 19.877004   9.031  1.8e-08 ***
DietPEITC    0.007364   0.022758 15.000000   0.324   0.7507    
Week9        0.017904   0.018482 17.000000   0.969   0.3462    
SexMale     -0.055533   0.024139 15.000000  -2.301   0.0362 *  
---
Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1

Correlation of Fixed Effects:
          (Intr) DPEITC Week9 
DietPEITC -0.463              
Week9     -0.376  0.000       
SexMale   -0.655  0.000  0.000

Linear mixed model fit by REML. t-tests use Satterthwaite's method ['lmerModLmerTest']
Formula: lgt ~ Diet + Week + Sex + (1 | MouseID)
   Data: tmp

REML criterion at convergence: -46.6

Scaled residuals: 
    Min      1Q  Median      3Q     Max 
-1.3819 -0.5776 -0.1677  0.4200  2.9199 

Random effects:
 Groups   Name        Variance Std.Dev.
 MouseID  (Intercept) 0.001923 0.04385 
 Residual             0.008340 0.09132 
Number of obs: 36, groups:  MouseID, 18

Fixed effects:
             Estimate Std. Error        df t value Pr(>|t|)   
(Intercept)  0.151399   0.039821 20.053857   3.802  0.00111 **
DietPEITC   -0.008327   0.036797 15.000000  -0.226  0.82403   
Week9        0.021242   0.030441 17.000000   0.698  0.49473   
SexMale     -0.033004   0.039029 15.000000  -0.846  0.41104   
---
Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1

Correlation of Fixed Effects:
          (Intr) DPEITC Week9 
DietPEITC -0.462              
Week9     -0.382  0.000       
SexMale   -0.653  0.000  0.000

Linear mixed model fit by REML. t-tests use Satterthwaite's method ['lmerModLmerTest']
Formula: lgt ~ Diet + Week + Sex + (1 | MouseID)
   Data: tmp

REML criterion at convergence: -76.2

Scaled residuals: 
    Min      1Q  Median      3Q     Max 
-1.5239 -0.5267 -0.1182  0.3308  2.0518 

Random effects:
 Groups   Name        Variance  Std.Dev.
 MouseID  (Intercept) 0.0009331 0.03055 
 Residual             0.0031798 0.05639 
Number of obs: 36, groups:  MouseID, 18

Fixed effects:
            Estimate Std. Error       df t value Pr(>|t|)    
(Intercept)  0.14406    0.02548 19.66782   5.655 1.66e-05 ***
DietPEITC   -0.01101    0.02368 15.00000  -0.465   0.6487    
Week9       -0.05339    0.01880 17.00000  -2.841   0.0113 *  
SexMale     -0.02325    0.02511 15.00000  -0.926   0.3693    
---
Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1

Correlation of Fixed Effects:
          (Intr) DPEITC Week9 
DietPEITC -0.465              
Week9     -0.369  0.000       
SexMale   -0.657  0.000  0.000

Linear mixed model fit by REML. t-tests use Satterthwaite's method ['lmerModLmerTest']
Formula: lgt ~ Diet + Week + Sex + (1 | MouseID)
   Data: tmp

REML criterion at convergence: -115.6

Scaled residuals: 
     Min       1Q   Median       3Q      Max 
-1.34918 -0.73243 -0.00275  0.53784  2.36896 

Random effects:
 Groups   Name        Variance Std.Dev.
 MouseID  (Intercept) 0.000000 0.00000 
 Residual             0.001154 0.03397 
Number of obs: 36, groups:  MouseID, 18

Fixed effects:
             Estimate Std. Error        df t value Pr(>|t|)    
(Intercept)  0.112485   0.012659 32.000000   8.886 3.76e-10 ***
DietPEITC   -0.007202   0.011322 32.000000  -0.636  0.52926    
Week9       -0.036697   0.011322 32.000000  -3.241  0.00278 ** 
SexMale      0.003498   0.012009 32.000000   0.291  0.77275    
---
Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1

Correlation of Fixed Effects:
          (Intr) DPEITC Week9 
DietPEITC -0.447              
Week9     -0.447  0.000       
SexMale   -0.632  0.000  0.000
convergence code: 0
singular fit

Linear mixed model fit by REML. t-tests use Satterthwaite's method ['lmerModLmerTest']
Formula: lgt ~ Diet + Week + Sex + (1 | MouseID)
   Data: tmp

REML criterion at convergence: -57.1

Scaled residuals: 
     Min       1Q   Median       3Q      Max 
-1.10205 -0.60242 -0.29339  0.09924  2.98219 

Random effects:
 Groups   Name        Variance Std.Dev.
 MouseID  (Intercept) 0.000000 0.00000 
 Residual             0.007171 0.08468 
Number of obs: 36, groups:  MouseID, 18

Fixed effects:
            Estimate Std. Error       df t value Pr(>|t|)
(Intercept)  0.02774    0.03156 32.00000   0.879    0.386
DietPEITC   -0.03294    0.02823 32.00000  -1.167    0.252
Week9        0.03759    0.02823 32.00000   1.332    0.192
SexMale      0.03065    0.02994 32.00000   1.024    0.314

Correlation of Fixed Effects:
          (Intr) DPEITC Week9 
DietPEITC -0.447              
Week9     -0.447  0.000       
SexMale   -0.632  0.000  0.000
convergence code: 0
singular fit

Linear mixed model fit by REML. t-tests use Satterthwaite's method ['lmerModLmerTest']
Formula: lgt ~ Diet + Week + Sex + (1 | MouseID)
   Data: tmp

REML criterion at convergence: -140.8

Scaled residuals: 
    Min      1Q  Median      3Q     Max 
-2.0366 -0.5651 -0.0398  0.4775  3.3796 

Random effects:
 Groups   Name        Variance  Std.Dev.
 MouseID  (Intercept) 0.0000000 0.00000 
 Residual             0.0005249 0.02291 
Number of obs: 36, groups:  MouseID, 18

Fixed effects:
             Estimate Std. Error        df t value Pr(>|t|)    
(Intercept)  0.038158   0.008539 32.000000   4.469 9.23e-05 ***
DietPEITC    0.002742   0.007637 32.000000   0.359   0.7219    
Week9       -0.010344   0.007637 32.000000  -1.354   0.1851    
SexMale      0.017576   0.008100 32.000000   2.170   0.0376 *  
---
Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1

Correlation of Fixed Effects:
          (Intr) DPEITC Week9 
DietPEITC -0.447              
Week9     -0.447  0.000       
SexMale   -0.632  0.000  0.000
convergence code: 0
singular fit

Linear mixed model fit by REML. t-tests use Satterthwaite's method ['lmerModLmerTest']
Formula: lgt ~ Diet + Week + Sex + (1 | MouseID)
   Data: tmp

REML criterion at convergence: -138.2

Scaled residuals: 
    Min      1Q  Median      3Q     Max 
-1.6003 -0.4125 -0.0523  0.2003  4.2777 

Random effects:
 Groups   Name        Variance  Std.Dev.
 MouseID  (Intercept) 6.136e-05 0.007833
 Residual             5.148e-04 0.022690
Number of obs: 36, groups:  MouseID, 18

Fixed effects:
             Estimate Std. Error        df t value Pr(>|t|)   
(Intercept)  0.031908   0.009227 20.915532   3.458  0.00236 **
DietPEITC    0.005791   0.008417 15.000000   0.688  0.50193   
Week9       -0.015938   0.007563 17.000000  -2.107  0.05024 . 
SexMale      0.016989   0.008927 15.000000   1.903  0.07640 . 
---
Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1

Correlation of Fixed Effects:
          (Intr) DPEITC Week9 
DietPEITC -0.456              
Week9     -0.410  0.000       
SexMale   -0.645  0.000  0.000

Linear mixed model fit by REML. t-tests use Satterthwaite's method ['lmerModLmerTest']
Formula: lgt ~ Diet + Week + Sex + (1 | MouseID)
   Data: tmp

REML criterion at convergence: -163.8

Scaled residuals: 
    Min      1Q  Median      3Q     Max 
-1.4281 -0.7365 -0.1075  0.6820  2.8405 

Random effects:
 Groups   Name        Variance  Std.Dev.
 MouseID  (Intercept) 0.0000000 0.00000 
 Residual             0.0002556 0.01599 
Number of obs: 36, groups:  MouseID, 18

Fixed effects:
             Estimate Std. Error        df t value Pr(>|t|)    
(Intercept)  0.028421   0.005959 32.000000   4.770 3.88e-05 ***
DietPEITC   -0.001827   0.005329 32.000000  -0.343    0.734    
Week9       -0.003393   0.005329 32.000000  -0.637    0.529    
SexMale      0.008109   0.005653 32.000000   1.434    0.161    
---
Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1

Correlation of Fixed Effects:
          (Intr) DPEITC Week9 
DietPEITC -0.447              
Week9     -0.447  0.000       
SexMale   -0.632  0.000  0.000
convergence code: 0
singular fit

Linear mixed model fit by REML. t-tests use Satterthwaite's method ['lmerModLmerTest']
Formula: lgt ~ Diet + Week + Sex + (1 | MouseID)
   Data: tmp

REML criterion at convergence: -140.9

Scaled residuals: 
     Min       1Q   Median       3Q      Max 
-1.52933 -0.44239 -0.09445  0.34429  2.61033 

Random effects:
 Groups   Name        Variance  Std.Dev.
 MouseID  (Intercept) 0.0003370 0.01836 
 Residual             0.0003017 0.01737 
Number of obs: 36, groups:  MouseID, 18

Fixed effects:
             Estimate Std. Error        df t value Pr(>|t|)  
(Intercept)  0.001755   0.010806 17.317633   0.162   0.8729  
DietPEITC    0.009001   0.010412 15.000000   0.865   0.4009  
Week9        0.012822   0.005790 17.000000   2.215   0.0407 *
SexMale      0.020592   0.011043 15.000000   1.865   0.0819 .
---
Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1

Correlation of Fixed Effects:
          (Intr) DPEITC Week9 
DietPEITC -0.482              
Week9     -0.268  0.000       
SexMale   -0.681  0.000  0.000

Linear mixed model fit by REML. t-tests use Satterthwaite's method ['lmerModLmerTest']
Formula: lgt ~ Diet + Week + Sex + (1 | MouseID)
   Data: tmp

REML criterion at convergence: -206.7

Scaled residuals: 
     Min       1Q   Median       3Q      Max 
-1.66463 -0.45658 -0.00022  0.57123  1.44058 

Random effects:
 Groups   Name        Variance  Std.Dev.
 MouseID  (Intercept) 3.564e-05 0.005970
 Residual             4.202e-05 0.006482
Number of obs: 36, groups:  MouseID, 18

Fixed effects:
              Estimate Std. Error         df t value Pr(>|t|)    
(Intercept)  0.0264022  0.0037090 17.7755540   7.118 1.33e-06 ***
DietPEITC    0.0004637  0.0035482 15.0000000   0.131    0.898    
Week9        0.0005568  0.0021608 17.0000000   0.258    0.800    
SexMale     -0.0025087  0.0037634 15.0000000  -0.667    0.515    
---
Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1

Correlation of Fixed Effects:
          (Intr) DPEITC Week9 
DietPEITC -0.478              
Week9     -0.291  0.000       
SexMale   -0.676  0.000  0.000

Linear mixed model fit by REML. t-tests use Satterthwaite's method ['lmerModLmerTest']
Formula: lgt ~ Diet + Week + Sex + (1 | MouseID)
   Data: tmp

REML criterion at convergence: -189.4

Scaled residuals: 
     Min       1Q   Median       3Q      Max 
-1.48980 -0.57990 -0.03277  0.61880  2.37731 

Random effects:
 Groups   Name        Variance  Std.Dev.
 MouseID  (Intercept) 1.945e-05 0.004410
 Residual             9.826e-05 0.009913
Number of obs: 36, groups:  MouseID, 18

Fixed effects:
              Estimate Std. Error         df t value Pr(>|t|)    
(Intercept)  0.0178184  0.0042391 20.2799064   4.203 0.000426 ***
DietPEITC   -0.0038745  0.0039039 15.0000000  -0.992 0.336707    
Week9        0.0178741  0.0033042 17.0000000   5.410  4.7e-05 ***
SexMale     -0.0001652  0.0041407 15.0000000  -0.040 0.968710    
---
Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1

Correlation of Fixed Effects:
          (Intr) DPEITC Week9 
DietPEITC -0.460              
Week9     -0.390  0.000       
SexMale   -0.651  0.000  0.000

Linear mixed model fit by REML. t-tests use Satterthwaite's method ['lmerModLmerTest']
Formula: lgt ~ Diet + Week + Sex + (1 | MouseID)
   Data: tmp

REML criterion at convergence: -216.5

Scaled residuals: 
     Min       1Q   Median       3Q      Max 
-1.97448 -0.46880  0.00346  0.41374  1.95257 

Random effects:
 Groups   Name        Variance  Std.Dev.
 MouseID  (Intercept) 2.163e-05 0.004651
 Residual             3.334e-05 0.005774
Number of obs: 36, groups:  MouseID, 18

Fixed effects:
             Estimate Std. Error        df t value Pr(>|t|)    
(Intercept)  0.021520   0.003072 18.250697   7.005 1.42e-06 ***
DietPEITC    0.009019   0.002918 15.000000   3.091  0.00745 ** 
Week9        0.001835   0.001925 17.000000   0.954  0.35364    
SexMale     -0.006249   0.003094 15.000000  -2.019  0.06168 .  
---
Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1

Correlation of Fixed Effects:
          (Intr) DPEITC Week9 
DietPEITC -0.475              
Week9     -0.313  0.000       
SexMale   -0.672  0.000  0.000

Linear mixed model fit by REML. t-tests use Satterthwaite's method ['lmerModLmerTest']
Formula: lgt ~ Diet + Week + Sex + (1 | MouseID)
   Data: tmp

REML criterion at convergence: -145.4

Scaled residuals: 
     Min       1Q   Median       3Q      Max 
-1.29599 -0.55010 -0.17246  0.08279  2.99174 

Random effects:
 Groups   Name        Variance  Std.Dev.
 MouseID  (Intercept) 0.0000000 0.00000 
 Residual             0.0004548 0.02133 
Number of obs: 36, groups:  MouseID, 18

Fixed effects:
             Estimate Std. Error        df t value Pr(>|t|)   
(Intercept)  0.022358   0.007947 32.000000   2.813  0.00832 **
DietPEITC   -0.005786   0.007108 32.000000  -0.814  0.42170   
Week9       -0.003311   0.007108 32.000000  -0.466  0.64449   
SexMale      0.006961   0.007540 32.000000   0.923  0.36282   
---
Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1

Correlation of Fixed Effects:
          (Intr) DPEITC Week9 
DietPEITC -0.447              
Week9     -0.447  0.000       
SexMale   -0.632  0.000  0.000
convergence code: 0
singular fit

Linear mixed model fit by REML. t-tests use Satterthwaite's method ['lmerModLmerTest']
Formula: lgt ~ Diet + Week + Sex + (1 | MouseID)
   Data: tmp

REML criterion at convergence: -150.4

Scaled residuals: 
    Min      1Q  Median      3Q     Max 
-1.5515 -0.5585 -0.2031  0.2320  3.2075 

Random effects:
 Groups   Name        Variance  Std.Dev.
 MouseID  (Intercept) 4.318e-05 0.006571
 Residual             3.508e-04 0.018729
Number of obs: 36, groups:  MouseID, 18

Fixed effects:
             Estimate Std. Error        df t value Pr(>|t|)    
(Intercept)  0.037005   0.007636 20.880617   4.846 8.76e-05 ***
DietPEITC   -0.009206   0.006969 15.000000  -1.321   0.2063    
Week9        0.004484   0.006243 16.999999   0.718   0.4823    
SexMale     -0.020180   0.007392 15.000000  -2.730   0.0155 *  
---
Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1

Correlation of Fixed Effects:
          (Intr) DPEITC Week9 
DietPEITC -0.456              
Week9     -0.409  0.000       
SexMale   -0.645  0.000  0.000

Linear mixed model fit by REML. t-tests use Satterthwaite's method ['lmerModLmerTest']
Formula: lgt ~ Diet + Week + Sex + (1 | MouseID)
   Data: tmp

REML criterion at convergence: -207.1

Scaled residuals: 
    Min      1Q  Median      3Q     Max 
-1.6546 -0.3912 -0.1061  0.2386  2.6179 

Random effects:
 Groups   Name        Variance  Std.Dev.
 MouseID  (Intercept) 3.400e-05 0.005831
 Residual             4.219e-05 0.006496
Number of obs: 36, groups:  MouseID, 18

Fixed effects:
              Estimate Std. Error         df t value Pr(>|t|)   
(Intercept)  0.0143734  0.0036627 17.8647574   3.924  0.00101 **
DietPEITC    0.0055563  0.0034991 15.0000000   1.588  0.13315   
Week9       -0.0007885  0.0021652 17.0000000  -0.364  0.72022   
SexMale      0.0028537  0.0037113 15.0000000   0.769  0.45388   
---
Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1

Correlation of Fixed Effects:
          (Intr) DPEITC Week9 
DietPEITC -0.478              
Week9     -0.296  0.000       
SexMale   -0.676  0.000  0.000

Linear mixed model fit by REML. t-tests use Satterthwaite's method ['lmerModLmerTest']
Formula: lgt ~ Diet + Week + Sex + (1 | MouseID)
   Data: tmp

REML criterion at convergence: -154.4

Scaled residuals: 
    Min      1Q  Median      3Q     Max 
-1.3726 -0.4899 -0.1808  0.2291  1.9940 

Random effects:
 Groups   Name        Variance  Std.Dev.
 MouseID  (Intercept) 0.0002100 0.01449 
 Residual             0.0002027 0.01424 
Number of obs: 36, groups:  MouseID, 18

Fixed effects:
              Estimate Std. Error         df t value Pr(>|t|)
(Intercept)  0.0074028  0.0086494 17.4388218   0.856    0.404
DietPEITC    0.0009598  0.0083176 15.0000000   0.115    0.910
Week9       -0.0025600  0.0047455 17.0000000  -0.539    0.597
SexMale      0.0142217  0.0088221 15.0000000   1.612    0.128

Correlation of Fixed Effects:
          (Intr) DPEITC Week9 
DietPEITC -0.481              
Week9     -0.274  0.000       
SexMale   -0.680  0.000  0.000

Linear mixed model fit by REML. t-tests use Satterthwaite's method ['lmerModLmerTest']
Formula: lgt ~ Diet + Week + Sex + (1 | MouseID)
   Data: tmp

REML criterion at convergence: -227.7

Scaled residuals: 
    Min      1Q  Median      3Q     Max 
-1.6473 -0.6063 -0.0781  0.4457  2.6780 

Random effects:
 Groups   Name        Variance  Std.Dev.
 MouseID  (Intercept) 1.034e-05 0.003216
 Residual             2.647e-05 0.005145
Number of obs: 36, groups:  MouseID, 18

Fixed effects:
             Estimate Std. Error        df t value Pr(>|t|)    
(Intercept)  0.012992   0.002444 19.172144   5.316 3.83e-05 ***
DietPEITC    0.002198   0.002289 15.000000   0.961    0.352    
Week9       -0.001209   0.001715 17.000000  -0.705    0.490    
SexMale      0.002587   0.002428 15.000000   1.066    0.303    
---
Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1

Correlation of Fixed Effects:
          (Intr) DPEITC Week9 
DietPEITC -0.468              
Week9     -0.351  0.000       
SexMale   -0.662  0.000  0.000

Linear mixed model fit by REML. t-tests use Satterthwaite's method ['lmerModLmerTest']
Formula: lgt ~ Diet + Week + Sex + (1 | MouseID)
   Data: tmp

REML criterion at convergence: -189

Scaled residuals: 
    Min      1Q  Median      3Q     Max 
-1.4055 -0.5709 -0.2243  0.3268  2.5765 

Random effects:
 Groups   Name        Variance  Std.Dev.
 MouseID  (Intercept) 0.0000000 0.00000 
 Residual             0.0001163 0.01079 
Number of obs: 36, groups:  MouseID, 18

Fixed effects:
             Estimate Std. Error        df t value Pr(>|t|)   
(Intercept)  0.013853   0.004020 32.000000   3.446  0.00161 **
DietPEITC    0.003843   0.003595 32.000000   1.069  0.29312   
Week9        0.001858   0.003595 32.000000   0.517  0.60888   
SexMale     -0.002346   0.003814 32.000000  -0.615  0.54279   
---
Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1

Correlation of Fixed Effects:
          (Intr) DPEITC Week9 
DietPEITC -0.447              
Week9     -0.447  0.000       
SexMale   -0.632  0.000  0.000
convergence code: 0
singular fit

Linear mixed model fit by REML. t-tests use Satterthwaite's method ['lmerModLmerTest']
Formula: lgt ~ Diet + Week + Sex + (1 | MouseID)
   Data: tmp

REML criterion at convergence: -195.6

Scaled residuals: 
    Min      1Q  Median      3Q     Max 
-1.5832 -0.6877 -0.1004  0.3424  3.1606 

Random effects:
 Groups   Name        Variance  Std.Dev.
 MouseID  (Intercept) 0.000e+00 0.000000
 Residual             9.459e-05 0.009726
Number of obs: 36, groups:  MouseID, 18

Fixed effects:
             Estimate Std. Error        df t value Pr(>|t|)   
(Intercept)  0.008395   0.003625 32.000000   2.316  0.02711 * 
DietPEITC    0.002268   0.003242 32.000000   0.700  0.48919   
Week9       -0.002141   0.003242 32.000000  -0.660  0.51374   
SexMale      0.009805   0.003439 32.000000   2.852  0.00756 **
---
Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1

Correlation of Fixed Effects:
          (Intr) DPEITC Week9 
DietPEITC -0.447              
Week9     -0.447  0.000       
SexMale   -0.632  0.000  0.000
convergence code: 0
singular fit

Linear mixed model fit by REML. t-tests use Satterthwaite's method ['lmerModLmerTest']
Formula: lgt ~ Diet + Week + Sex + (1 | MouseID)
   Data: tmp

REML criterion at convergence: -195.2

Scaled residuals: 
    Min      1Q  Median      3Q     Max 
-1.0324 -0.7033 -0.1194  0.2529  3.4519 

Random effects:
 Groups   Name        Variance  Std.Dev.
 MouseID  (Intercept) 0.000e+00 0.00000 
 Residual             9.585e-05 0.00979 
Number of obs: 36, groups:  MouseID, 18

Fixed effects:
             Estimate Std. Error        df t value Pr(>|t|)  
(Intercept) 5.517e-03  3.649e-03 3.200e+01   1.512   0.1403  
DietPEITC   3.543e-03  3.263e-03 3.200e+01   1.086   0.2857  
Week9       6.316e-05  3.263e-03 3.200e+01   0.019   0.9847  
SexMale     8.923e-03  3.461e-03 3.200e+01   2.578   0.0148 *
---
Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1

Correlation of Fixed Effects:
          (Intr) DPEITC Week9 
DietPEITC -0.447              
Week9     -0.447  0.000       
SexMale   -0.632  0.000  0.000
convergence code: 0
singular fit
---
title: "Nrf2 BL6 PEITC 16S Microbiome Logit-Transformed Data Modeling"
output:
  html_notebook: default
  html_document:
    df_print: paged
  pdf_document: default
---


```{r Data, warning=FALSE,echo=FALSE,message=FALSE}
# html_notebook: default

require(data.table)
require(phyloseq)
require(ggplot2)
require(plotly)
require(DT)
require(lmerTest)
source("source/functions_v2.R")

# Load data----
# Counts
load("data/ps.RData")

# Taxonomy
load("data/taxa.plus.RData")
taxa <- data.table(seq16s = rownames(taxa.plus),
                   taxa.plus)

# Samples
# ps@sam_data
load("data/samples.RData")
samples$Sample <- substr(x = samples$Name,
                         start = 1,
                         stop = 5)
samples$Sample[samples$Sample %in% c("4A_S1",
                                     "4B_S2",
                                     "4C_S3")] <- 
  substr(x = samples$Sample[samples$Sample %in% c("4A_S1",
                                                  "4B_S2",
                                                  "4C_S3")],
         start = 1,
         stop = 2)
samples$MouseID <- substr(x = samples$Sample,
                         start = 2,
                         stop = 5)
# DT::datatable(samples)
```

## Relative Abundance in Samples at Different Taxonomic Ranks
```{r Tax, warning=FALSE,echo=FALSE,message=FALSE}
# keep controls and PEITCs at weeks 5 and 9 only
w59 <- prune_samples(samples = sample_names(ps)[!(sample_names(ps) %in%
                                                    c("4A",
                                                      "4B",
                                                      "4C",
                                                      "Undetermined"))],
                    x = ps)
# OTU table
otu <- t(w59@otu_table@.Data)
otu <- data.table(seq16s = rownames(otu),
                  otu)

# Merge taxonomy and counts tables----
dt1 <- merge(taxa,
             otu,
             by = "seq16s")
dt1$seq16s <- NULL

# Remove archea and eucaryota----
dt1 <- droplevels(dt1[Kingdom == "Bacteria", ])
# 10,197 out of 10,759 rows left

# Remove rows with all zeros----
ndx.keep <- rowSums(dt1[, `5A1-C`:`9C3-P`]) > 0
dt1 <- dt1[ndx.keep, ]
# 9,877 rows left
```

### 1. Class
```{r Class, warning=FALSE,echo=FALSE,message=FALSE,fig.width=10,fig.height=7}
tax <- "Class"
dt2 <- counts_ra_by_tax_rank(dt1, tax)

mu <- aggregate(dt2$RA,
                by = list(Tax = dt2$Tax,
                          Week = dt2$Week,
                          Diet = dt2$Diet),
                FUN = "mean")

lvls <- aggregate(dt2$RA,
                  by = list(Tax = dt2$Tax),
                  FUN = "mean")
lvls <- lvls$Tax[order(lvls$x,
                       decreasing = TRUE)]

dt2$Tax <- factor(dt2$Tax,
                  levels = lvls)

dt2 <- droplevels(dt2)
dt2[, lgt := log(1 + (RA/(1-RA)))]
# length(unique(dt2$Tax))
# 26 unique classes

dt2$Group <- paste("Week",
                   dt2$Week,
                   dt2$Diet)
# unique(dt2$grp)
dt2$Group <- factor(dt2$Group,
                    levels = c("Week 5 AIN93M Control",
                               "Week 9 AIN93M Control",
                               "Week 5 PEITC",
                               "Week 9 PEITC"))

# Boxplots for Classes with RA ~>1% (minus ----
over1pct <- levels(dt2$Tax)[1:7]

for (i in 1:length(over1pct)) {
  tmp <- droplevels(dt2[Tax == over1pct[i], ])
  
  p1 <- ggplot(data = tmp) +
    facet_wrap(~ Sex,
               nrow = 1) +
    geom_line(aes(x = Group,
                  y = RA,
                  group = MouseID),
              size = 1,
              position = position_dodge(0.3)) + 
    geom_point(aes(x = Group,
                   y = RA,
                   fill = MouseID),
               size = 3,
               alpha = 0.6,
               shape = 21,
               position = position_dodge(0.3)) + 
    scale_x_discrete("Diet/Week") + 
    scale_y_continuous("Relative Abundance") + 
    scale_fill_discrete("Mouse ID") +
    ggtitle(paste(tax,
                  over1pct[i],
                  sep = ": ")) +
    theme(plot.title = element_text(hjust = 0.5),
          axis.text.x = element_text(angle = 45,
                                     hjust = 1))
  print(ggplotly(p1))
  
  p2 <- ggplot(data = tmp) +
    facet_wrap(~ Sex,
               nrow = 1) +
    geom_line(aes(x = Group,
                  y = lgt,
                  group = MouseID),
              size = 1,
              position = position_dodge(0.3)) + 
    geom_point(aes(x = Group,
                   y = lgt,
                   fill = MouseID),
               size = 3,
               alpha = 0.6,
               shape = 21,
               position = position_dodge(0.3)) + 
    scale_x_discrete("Diet/Week") + 
    scale_y_continuous("Logit of Relative Abundance") + 
    scale_fill_discrete("Mouse ID") +
    ggtitle(paste(tax,
                  over1pct[i],
                  sep = ": ")) +
    theme(plot.title = element_text(hjust = 0.5),
          axis.text.x = element_text(angle = 45,
                                     hjust = 1))
  print(ggplotly(p2))
  
  m1 <- lmerTest::lmer(lgt ~ Diet + Week + Sex + (1|MouseID),
                       # weights = 1/(Counts + 0.5),
                       data = tmp)
  print(summary(m1))
}
```

### 2. Order
```{r Order, warning=FALSE,echo=FALSE,message=FALSE,fig.width=10,fig.height=7}
tax <- "Order"
dt2 <- counts_ra_by_tax_rank(dt1, tax)

mu <- aggregate(dt2$RA,
                by = list(Tax = dt2$Tax,
                          Week = dt2$Week,
                          Diet = dt2$Diet),
                FUN = "mean")

lvls <- aggregate(dt2$RA,
                  by = list(Tax = dt2$Tax),
                  FUN = "mean")
lvls <- lvls$Tax[order(lvls$x,
                       decreasing = TRUE)]

dt2$Tax <- factor(dt2$Tax,
                  levels = lvls)

dt2 <- droplevels(dt2)
dt2[, lgt := log(1 + (RA/(1-RA)))]
# length(unique(dt2$Tax))
# 26 unique classes

dt2$Group <- paste("Week",
                   dt2$Week,
                   dt2$Diet)
# unique(dt2$grp)
dt2$Group <- factor(dt2$Group,
                    levels = c("Week 5 AIN93M Control",
                               "Week 9 AIN93M Control",
                               "Week 5 PEITC",
                               "Week 9 PEITC"))

# Boxplots for Classes with RA ~>1% (minus ----
over1pct <- levels(dt2$Tax)[1:10]

for (i in 1:length(over1pct)) {
  tmp <- droplevels(dt2[Tax == over1pct[i], ])
  
  p1 <- ggplot(data = tmp) +
    facet_wrap(~ Sex,
               nrow = 1) +
    geom_line(aes(x = Group,
                  y = RA,
                  group = MouseID),
              size = 1,
              position = position_dodge(0.3)) + 
    geom_point(aes(x = Group,
                   y = RA,
                   fill = MouseID),
               size = 3,
               alpha = 0.6,
               shape = 21,
               position = position_dodge(0.3)) + 
    scale_x_discrete("Diet/Week") + 
    scale_y_continuous("Relative Abundance") + 
    scale_fill_discrete("Mouse ID") +
    ggtitle(paste(tax,
                  over1pct[i],
                  sep = ": ")) +
    theme(plot.title = element_text(hjust = 0.5),
          axis.text.x = element_text(angle = 45,
                                     hjust = 1))
  print(ggplotly(p1))
  
  p2 <- ggplot(data = tmp) +
    facet_wrap(~ Sex,
               nrow = 1) +
    geom_line(aes(x = Group,
                  y = lgt,
                  group = MouseID),
              size = 1,
              position = position_dodge(0.3)) + 
    geom_point(aes(x = Group,
                   y = lgt,
                   fill = MouseID),
               size = 3,
               alpha = 0.6,
               shape = 21,
               position = position_dodge(0.3)) + 
    scale_x_discrete("Diet/Week") + 
    scale_y_continuous("Logit of Relative Abundance") + 
    scale_fill_discrete("Mouse ID") +
    ggtitle(paste(tax,
                  over1pct[i],
                  sep = ": ")) +
    theme(plot.title = element_text(hjust = 0.5),
          axis.text.x = element_text(angle = 45,
                                     hjust = 1))
  print(ggplotly(p2))
  
  m1 <- lmerTest::lmer(lgt ~ Diet + Week + Sex + (1|MouseID),
                       # weights = 1/(Counts + 0.5),
                       data = tmp)
  print(summary(m1))
}
```

### 3. Family
```{r Family, warning=FALSE,echo=FALSE,message=FALSE,fig.width=10,fig.height=7}
tax <- "Family"
dt2 <- counts_ra_by_tax_rank(dt1, tax)

mu <- aggregate(dt2$RA,
                by = list(Tax = dt2$Tax,
                          Week = dt2$Week,
                          Diet = dt2$Diet),
                FUN = "mean")

lvls <- aggregate(dt2$RA,
                  by = list(Tax = dt2$Tax),
                  FUN = "mean")
lvls <- lvls$Tax[order(lvls$x,
                       decreasing = TRUE)]

dt2$Tax <- factor(dt2$Tax,
                  levels = lvls)

dt2 <- droplevels(dt2)
dt2[, lgt := log(1 + (RA/(1-RA)))]
# length(unique(dt2$Tax))
# 26 unique classes

dt2$Group <- paste("Week",
                   dt2$Week,
                   dt2$Diet)
# unique(dt2$grp)
dt2$Group <- factor(dt2$Group,
                    levels = c("Week 5 AIN93M Control",
                               "Week 9 AIN93M Control",
                               "Week 5 PEITC",
                               "Week 9 PEITC"))

# Boxplots for Classes with RA ~>1% (minus ----
over1pct <- levels(dt2$Tax)[1:17]

for (i in 1:length(over1pct)) {
  tmp <- droplevels(dt2[Tax == over1pct[i], ])
  
  p1 <- ggplot(data = tmp) +
    facet_wrap(~ Sex,
               nrow = 1) +
    geom_line(aes(x = Group,
                  y = RA,
                  group = MouseID),
              size = 1,
              position = position_dodge(0.3)) + 
    geom_point(aes(x = Group,
                   y = RA,
                   fill = MouseID),
               size = 3,
               alpha = 0.6,
               shape = 21,
               position = position_dodge(0.3)) + 
    scale_x_discrete("Diet/Week") + 
    scale_y_continuous("Relative Abundance") + 
    scale_fill_discrete("Mouse ID") +
    ggtitle(paste(tax,
                  over1pct[i],
                  sep = ": ")) +
    theme(plot.title = element_text(hjust = 0.5),
          axis.text.x = element_text(angle = 45,
                                     hjust = 1))
  print(ggplotly(p1))
  
  p2 <- ggplot(data = tmp) +
    facet_wrap(~ Sex,
               nrow = 1) +
    geom_line(aes(x = Group,
                  y = lgt,
                  group = MouseID),
              size = 1,
              position = position_dodge(0.3)) + 
    geom_point(aes(x = Group,
                   y = lgt,
                   fill = MouseID),
               size = 3,
               alpha = 0.6,
               shape = 21,
               position = position_dodge(0.3)) + 
    scale_x_discrete("Diet/Week") + 
    scale_y_continuous("Logit of Relative Abundance") + 
    scale_fill_discrete("Mouse ID") +
    ggtitle(paste(tax,
                  over1pct[i],
                  sep = ": ")) +
    theme(plot.title = element_text(hjust = 0.5),
          axis.text.x = element_text(angle = 45,
                                     hjust = 1))
  print(ggplotly(p2))
  
  m1 <- lmerTest::lmer(lgt ~ Diet + Week + Sex + (1|MouseID),
                       # weights = 1/(Counts + 0.5),
                       data = tmp)
  print(summary(m1))
}
```

### 4. Genus
```{r Genus, warning=FALSE,echo=FALSE,message=FALSE,fig.width=10,fig.height=7}
tax <- "Genus"
dt2 <- counts_ra_by_tax_rank(dt1, tax)

mu <- aggregate(dt2$RA,
                by = list(Tax = dt2$Tax,
                          Week = dt2$Week,
                          Diet = dt2$Diet),
                FUN = "mean")

lvls <- aggregate(dt2$RA,
                  by = list(Tax = dt2$Tax),
                  FUN = "mean")
lvls <- lvls$Tax[order(lvls$x,
                       decreasing = TRUE)]

dt2$Tax <- factor(dt2$Tax,
                  levels = lvls)

dt2 <- droplevels(dt2)
dt2[, lgt := log(1 + (RA/(1-RA)))]
# length(unique(dt2$Tax))
# 26 unique classes

dt2$Group <- paste("Week",
                   dt2$Week,
                   dt2$Diet)
# unique(dt2$grp)
dt2$Group <- factor(dt2$Group,
                    levels = c("Week 5 AIN93M Control",
                               "Week 9 AIN93M Control",
                               "Week 5 PEITC",
                               "Week 9 PEITC"))

# Boxplots for Classes with RA ~>1% (minus ----
over1pct <- levels(dt2$Tax)[1:20]

for (i in 1:length(over1pct)) {
  tmp <- droplevels(dt2[Tax == over1pct[i], ])
  
  p1 <- ggplot(data = tmp) +
    facet_wrap(~ Sex,
               nrow = 1) +
    geom_line(aes(x = Group,
                  y = RA,
                  group = MouseID),
              size = 1,
              position = position_dodge(0.3)) + 
    geom_point(aes(x = Group,
                   y = RA,
                   fill = MouseID),
               size = 3,
               alpha = 0.6,
               shape = 21,
               position = position_dodge(0.3)) + 
    scale_x_discrete("Diet/Week") + 
    scale_y_continuous("Relative Abundance") + 
    scale_fill_discrete("Mouse ID") +
    ggtitle(paste(tax,
                  over1pct[i],
                  sep = ": ")) +
    theme(plot.title = element_text(hjust = 0.5),
          axis.text.x = element_text(angle = 45,
                                     hjust = 1))
  print(ggplotly(p1))
  
  p2 <- ggplot(data = tmp) +
    facet_wrap(~ Sex,
               nrow = 1) +
    geom_line(aes(x = Group,
                  y = lgt,
                  group = MouseID),
              size = 1,
              position = position_dodge(0.3)) + 
    geom_point(aes(x = Group,
                   y = lgt,
                   fill = MouseID),
               size = 3,
               alpha = 0.6,
               shape = 21,
               position = position_dodge(0.3)) + 
    scale_x_discrete("Diet/Week") + 
    scale_y_continuous("Logit of Relative Abundance") + 
    scale_fill_discrete("Mouse ID") +
    ggtitle(paste(tax,
                  over1pct[i],
                  sep = ": ")) +
    theme(plot.title = element_text(hjust = 0.5),
          axis.text.x = element_text(angle = 45,
                                     hjust = 1))
  print(ggplotly(p2))
  
  m1 <- lmerTest::lmer(lgt ~ Diet + Week + Sex + (1|MouseID),
                       # weights = 1/(Counts + 0.5),
                       data = tmp)
  print(summary(m1))
}
```